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OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error

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journal contribution
posted on 2017-06-30, 14:53 authored by Yu GongYu Gong, Xia Hong
This paper proposes a new iterative algorithm for orthogonal frequency division multiplexing (OFDM) joint data detection and phase noise (PHN) cancellation based on minimum mean square prediction error. We particularly highlight the relatively less studied problem of “overfitting” such that the iterative approach may converge to a trivial solution. Specifically, we apply a hard-decision procedure at every iterative step to overcome the overfitting. Moreover, compared with existing algorithms, a more accurate Pade approximation is used to represent the PHN, and finally a more robust and compact fast process based on Givens rotation is proposed to reduce the complexity to a practical level. Numerical simulations are also given to verify the proposed algorithm.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Signal Processing (Elsevier)

Volume

39

Issue

4

Pages

502 - 509

Citation

GONG, Y. and HONG, X., 2008. OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error. Signal Processing, 89 (4), pp. 502-509.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2008

Notes

This paper was accepted for publication in the journal Signal Processing and the definitive published version is available at https://doi.org/10.1016/j.sigpro.2008.10.006

ISSN

0165-1684

Language

  • en

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